speech recognition javascript

JavaScript Speech Recognition Example (Speech to Text)

With the Web Speech API, we can recognize speech using JavaScript . It is super easy to recognize speech in a browser using JavaScript and then getting the text from the speech to use as user input. We have already covered How to convert Text to Speech in Javascript .

But the support for this API is limited to the Chrome browser only . So if you are viewing this example in some other browser, the live example below might not work.

This tutorial will cover a basic example where we will cover speech to text. We will ask the user to speak something and we will use the SpeechRecognition object to convert the speech into text and then display the text on the screen.

The Web Speech API of Javascript can be used for multiple other use cases. We can provide a list of rules for words or sentences as grammar using the SpeechGrammarList object, which will be used to recognize and validate user input from speech.

For example, consider that you have a webpage on which you show a Quiz, with a question and 4 available options and the user has to select the correct option. In this, we can set the grammar for speech recognition with only the options for the question, hence whatever the user speaks, if it is not one of the 4 options, it will not be recognized.

We can use grammar, to define rules for speech recognition, configuring what our app understands and what it doesn't understand.

JavaScript Speech to Text

In the code example below, we will use the SpeechRecognition object. We haven't used too many properties and are relying on the default values. We have a simple HTML webpage in the example, where we have a button to initiate the speech recognition.

The main JavaScript code which is listening to what user speaks and then converting it to text is this:

In the above code, we have used:

recognition.start() method is used to start the speech recognition.

Once we begin speech recognition, the onstart event handler can be used to inform the user that speech recognition has started and they should speak into the mocrophone.

When the user is done speaking, the onresult event handler will have the result. The SpeechRecognitionEvent results property returns a SpeechRecognitionResultList object. The SpeechRecognitionResultList object contains SpeechRecognitionResult objects. It has a getter so it can be accessed like an array. The first [0] returns the SpeechRecognitionResult at the last position. Each SpeechRecognitionResult object contains SpeechRecognitionAlternative objects that contain individual results. These also have getters so they can be accessed like arrays. The second [0] returns the SpeechRecognitionAlternative at position 0 . We then return the transcript property of the SpeechRecognitionAlternative object.

Same is done for the confidence property to get the accuracy of the result as evaluated by the API.

We have many event handlers, to handle the events surrounding the speech recognition process. One such event is onspeechend , which we have used in our code to call the stop() method of the SpeechRecognition object to stop the recognition process.

Now let's see the running code:

When you will run the code, the browser will ask for permission to use your Microphone , so please click on Allow and then speak anything to see the script in action.

Conclusion:

So in this tutorial we learned how we can use Javascript to write our own small application for converting speech into text and then displaying the text output on screen. We also made the whole process more interactive by using the various event handlers available in the SpeechRecognition interface. In future I will try to cover some simple web application ideas using this feature of Javascript to help you usnderstand where we can use this feature.

If you face any issue running the above script, post in the comment section below. Remember, only Chrome browser supports it .

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• JavaScript Number Object
• JavaScript Functions
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Voice driven web apps - Introduction to the Web Speech API

The new JavaScript Web Speech API makes it easy to add speech recognition to your web pages. This API allows fine control and flexibility over the speech recognition capabilities in Chrome version 25 and later. Here's an example with the recognized text appearing almost immediately while speaking.

DEMO / SOURCE

Let’s take a look under the hood. First, we check to see if the browser supports the Web Speech API by checking if the webkitSpeechRecognition object exists. If not, we suggest the user upgrades their browser. (Since the API is still experimental, it's currently vendor prefixed.) Lastly, we create the webkitSpeechRecognition object which provides the speech interface, and set some of its attributes and event handlers.

The default value for continuous is false, meaning that when the user stops talking, speech recognition will end. This mode is great for simple text like short input fields. In this demo , we set it to true, so that recognition will continue even if the user pauses while speaking.

The default value for interimResults is false, meaning that the only results returned by the recognizer are final and will not change. The demo sets it to true so we get early, interim results that may change. Watch the demo carefully, the grey text is the text that is interim and does sometimes change, whereas the black text are responses from the recognizer that are marked final and will not change.

To get started, the user clicks on the microphone button, which triggers this code:

We set the spoken language for the speech recognizer "lang" to the BCP-47 value that the user has selected via the selection drop-down list, for example “en-US” for English-United States. If this is not set, it defaults to the lang of the HTML document root element and hierarchy. Chrome speech recognition supports numerous languages (see the “ langs ” table in the demo source), as well as some right-to-left languages that are not included in this demo, such as he-IL and ar-EG.

After setting the language, we call recognition.start() to activate the speech recognizer. Once it begins capturing audio, it calls the onstart event handler, and then for each new set of results, it calls the onresult event handler.

This handler concatenates all the results received so far into two strings: final_transcript and interim_transcript . The resulting strings may include "\n", such as when the user speaks “new paragraph”, so we use the linebreak function to convert these to HTML tags <br> or <p> . Finally it sets these strings as the innerHTML of their corresponding <span> elements: final_span which is styled with black text, and interim_span which is styled with gray text.

interim_transcript is a local variable, and is completely rebuilt each time this event is called because it’s possible that all interim results have changed since the last onresult event. We could do the same for final_transcript simply by starting the for loop at 0. However, because final text never changes, we’ve made the code here a bit more efficient by making final_transcript a global, so that this event can start the for loop at event.resultIndex and only append any new final text.

That’s it! The rest of the code is there just to make everything look pretty. It maintains state, shows the user some informative messages, and swaps the GIF image on the microphone button between the static microphone, the mic-slash image, and mic-animate with the pulsating red dot.

The mic-slash image is shown when recognition.start() is called, and then replaced with mic-animate when onstart fires. Typically this happens so quickly that the slash is not noticeable, but the first time speech recognition is used, Chrome needs to ask the user for permission to use the microphone, in which case onstart only fires when and if the user allows permission. Pages hosted on HTTPS do not need to ask repeatedly for permission, whereas HTTP hosted pages do.

So make your web pages come alive by enabling them to listen to your users!

We’d love to hear your feedback...

• For comments on the W3C Web Speech API specification: email , mailing archive , community group
• For comments on Chrome’s implementation of this spec: email , mailing archive

Refer to the Chrome Privacy Whitepaper to learn how Google is handling voice data from this API.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2013-01-13 UTC.

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speech-recognition

Here are 486 public repositories matching this topic..., talater / annyang.

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A small Javascript library for browser-based real-time speech recognition, which uses Recorderjs for audio capture, and a WebSocket connection to the Kaldi GStreamer server for speech recognition.

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common-voice / cv-dataset

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Chrome/Edge BROWSER EXTENSION that can RECOGNIZE any live audio/video streaming then TRANSLATE it for FREE (using unofficial online Google Translate API) then display it as LIVE CAPTION / LIVE SUBTITLE!

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szimek / webrtc-translate

Highly experimental (read: "barely working") app that uses WebRTC API and Web Speech API to provide almost (read: "not really") real-time translations during a video call. Chrome only, because of Web Speech API. Demo: https://youtu.be/Tv8ilBOKS2o

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patrickmonteiro / quasar-speech-api

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HeyHeyChicken / NOVA-NodeJS

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inevolin / DiscordEarsBot

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JavaScript Speech Recognition

Speech Recognition is a broad term that is often associated solely with Speech-to-Text technology. However, Speech Recognition can also include technologies such as Wake Word Detection , Voice Command Recognition , and Voice Activity Detection ( VAD ).

This article provides a thorough guide on integrating on-device Speech Recognition into JavaScript Web apps. We will be learning about the following technologies:

• Cobra Voice Activity Detection

Porcupine Wake Word

Rhino speech-to-intent, cheetah streaming speech-to-text, leopard speech-to-text.

In addition to plain JavaScript, Picovoice's Speech Recognition engines are also available in different UI frameworks such as React , Angular , and Vue .

Cobra Voice Activity Detection is a VAD engine that can be used to detect the presence of human speech within an audio signal.

• Install the Web Voice Processor and Cobra Voice Activity Detection Web SDK packages using npm :

Sign up for a free Picovoice Console account and copy your AccessKey from the main dashboard. The AccessKey is only required for authentication and authorization.

Create an instance of CobraWorker :

• Subscribe CobraWorker to WebVoiceProcessor to start processing audio frames:

For further details, visit the Cobra Voice Activity Detection product page or refer to the Cobra Web SDK quick start guide .

Porcupine Wake Word is a wake word detection engine that can be used to listen for user-specified keywords and activate dormant applications when a keyword is detected.

• Install the Web Voice Processor and Porcupine Wake Word Web SDK packages using npm :

Create and download a custom Wake Word model using Picovoice Console.

Add the Porcupine model ( .pv ) for your language of choice and your custom Wake Word model ( .ppn ) created in the previous step to the project's public directory:

• Create objects containing the Porcupine model and Wake Word model options:
• Create an instance of PorcupineWorker :
• Subscribe PorcupineWorker to WebVoiceProcessor to start processing audio frames:

For further details, visit the Porcupine Wake Word product page or refer to the Porcupine Web SDK quick start guide .

Rhino Speech-to-Intent is a voice command recognition engine that infers user intents from utterances, allowing users to interact with applications via voice.

• Install the Web Voice Processor and Rhino Speech-to-Intent Web SDK packages using npm :

Create your Context using Picovoice Console.

Add the Rhino Speech-to-Intent model ( .pv ) for your language of choice and the Context model ( .rhn ) created in the previous step to the project's public directory:

• Create an object containing the Rhino Speech-to-Intent model and Context model options:
• Create an instance of RhinoWorker :
• Subscribe RhinoWorker to WebVoiceProcessor to start processing audio frames:

For further details, visit the Rhino Speech-to-Intent product page or refer to the Rhino's Web SDK quick start guide .

Cheetah Streaming Speech-to-Text is a speech-to-text engine that transcribes voice data in real time, synchronously with audio generation.

• Install the Web Voice Processor and Cheetah Streaming Speech-to-Text Web SDK packages using npm :

Generate a custom Cheetah Streaming Speech-to-Text model from the Picovoice Console ( .pv ) or download the default model ( .pv ).

Add the model to the project's public directory:

• Create an object containing the model options:
• Create an instance of CheetahWorker :
• Subscribe CheetahWorker to WebVoiceProcessor to start processing audio frames:

For further details, visit the Cheetah Streaming Speech-to-Text product page or refer to the Cheetah Web SDK quick start guide .

In contrast to Cheetah Streaming Speech-to-Text , Leopard Speech-to-Text waits for the complete spoken phrase to complete before providing a transcription, enabling higher accuracy and runtime efficiency.

• Install the Leopard Speech-to-Text Web SDK package using npm :

Generate a custom Leopard Speech-to-Text model ( .pv ) from Picovoice Console or download a default model ( .pv ) for the language of your choice.

• Create an instance of LeopardWorker :
• Transcribe audio (sample rate of 16 kHz, 16-bit linearly encoded and 1 channel):

For further details, visit the Leopard Speech-to-Text product page or refer to Leopard's Web SDK quick start guide .

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Voice commands and speech synthesis made easy

Artyom.js is an useful wrapper of the speechSynthesis and webkitSpeechRecognition APIs.

Besides, artyom.js also lets you to add voice commands to your website easily, build your own Google Now, Siri or Cortana !

Download .js

Get on bower, installation.

If you don't use any module bundler like browserify, require etc, just include the artyom window script in the head tag of your document and you are ready to go !

The Artyom class would be now available and you can instantiate it:

Note You need to load artyom.js in the head tag to preload the voices in case you want to use the speechSynthesis API. otherwise you can still load it in the end of the body tag.

About Artyom in this Browser

Loading info ....

According to your browser, speech synthesis and speech recognition may be available or not separately, use artyom.speechSupported and artyom.recognizingSupported methods to know it.

These are the available voices of artyom in this browser. See the initialization codes in the initialization area or read the docs.

Our Code Editor

Give artyom some orders in this website Since you're in this website artyom has been enabled. Try using any of the demo commands in the following list to test it !

Voice commands

Before the initialization, we need to add some commands for being processed. Use the artyom.addCommands(commands) method to add commands.

A command is a literal object with some properties. There are 2 types of commands normal and smarts .

A smart command allow you to retrieve a value from a spoken string as a wildcard. Every command can be triggered for any of the identifiers given in the indexes array.

Pro tip You can add commands dinamically while artyom is active. The commands are stored in an array so you can add them whenever you want and they'll be processed.

Start artyom

Now that artyom has commands, these can be processed. Artyom can work in continuous and uncontinuous mode.

Remember that artyom provides you the possibility to process the commands with a server language instead of javascript, you can enable the remote mode of artyom and use the artyom.remoteProcessorService method.

Note You'll need an SSL certificate in your website (https connection) in order to use the continuous mode, otherwise you'll be prompted for the permission to access the microphone everytime the recognition ends.

Pro tip Set always the debug property to true if you're working with artyom locally , you'll find convenient, valuable messages and information in the browser console.

Speech text

Use artyom.say to speak text. The language is retrieven at the initialization from the lang property.

Note Artyom removes the limitation of the traditional API ( about 150 characters max. Read more about this issue here ). With artyom you can read very extense text chunks without being blocked and the onEnd and onStart callbacks will be respected.

Pro tip Split the text by yourself in the way you want and execute and use artyom.say many times to decrease the probability of limitation of characters in the spoken text.

Test it by yourself paste all the text you want in the following textarea and click on speak to hear it !

Speech to text

Convert what you say into text easily with the dictation object.

Note You'll need to stop artyom before start a new dictation using artyom.fatality as 2 instances of webkitSpeechRecognition cannot run at time.

Simulate instructions without say a word

You can simulate a command without use the microphone using artyom.simulateInstruction("command identifier") for test purposes (or you don't have any microphone for test).

Try simulating any of the commands of this document like "hello","go to github" etc.

Get spoken text while artyom is active

If you want to show the user the recognized text while artyom is active, you can redirect the output of the speech recognition of artyom using artyom.redirectRecognizedTextOutput .

All that you say on this website will be shown in the following box:

Pause and resume commands recognition

You can pause the commands recognition, not the original speechRecognition. The text recognition will continue but the commands execution will be paused using the artyom.dontObey method.

To resume the command recognition use the artyom.obey . Alternatively, use the obeyKeyword property to enable with the voice at the initialization.

Useful keywords

Use the executionKeyword at the initialization to execute immediately a command though you are still talking. Use the obeyKeyword to resume the commands recognition if you use the pause method ( artyom.dontObey ). If you say this keyword while artyom is paused, artyom will be resumed and it will continue processing commands automatically.

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Getting started with the Speech Recognition API in Javascript

Carlos Delgado

• January 22, 2017
• 27.9K views

Learn how to use the speech recognition API with Javascript in Google Chrome

The JavaScript API Speech Recognition enables web developers to incorporate speech recognition into your web page. This API allows fine control and flexibility over the speech recognition capabilities in Chrome version 25 and later. This API is experimental, that means that it's not available on every browser. Even in Chrome, there are some attributes of the API that aren't supported. For more information visit Can I Use Speech Recognition .

In this article you will learn how to use the Speech Recognition API, in its most basic expression.

Implementation

To get started, you will need to know wheter the browser supports the API or not. To do this, you can verify if the window object in the browser has the webkitSpeechRecognition property using any of the following snippets:

Once you verify, you can start to work with this API. Create a new instance of the webkitSpeechRecognition class and set the basic properties:

Now that the basic options are set, you will need to add some event handlers. In this case we are going add the basic listeners as onerror , onstart , onend and onresult (event used to retrieve the recognized text).

The onresult event receives as first parameter a custom even object. The results are stored in the event.results property (an object of type SpeechRecognitionResultList  that stores the  SpeechRecognitionResult objects, this in turn contains instances of  SpeechRecognitionAlternative with the transcript property that contains the text ).

As the final step, you need to start it by executing the start method of the recognition object or to stop it once it's running executing the stop method:

Now the entire functional snippet to use the speech recognition API should look like:

Once you execute the start method, the microphone permission dialog will be shown in the Browser.

Go ahead and test it in your web or local server.  You can see a live demo of the Speech Recognition API working in the browser in all the available languages from the official Chrome Demos here .

Supported languages

Currently, the API supports 40 languages in Chrome. Some languages have specifical codes according to the region (the identifiers follow the BCP-47 format ):

You can use the following object if you need the previous table in Javascript and you can iterate it as shown in the example:

Whose output in the console will be:

Happy coding !

Senior Software Engineer at Software Medico . Interested in programming since he was 14 years old, Carlos is a self-taught programmer and founder and author of most of the articles at Our Code World.

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Posted on Aug 22, 2022 • Updated on Aug 25, 2022

Speech Recognition with JavaScript

Cover image credits: dribbble

Some time ago, speech recognition API was added to the specs and we got partial support on Chrome, Safari, Baidu, android webview, iOS safari, samsung internet and Kaios browsers ( see browser support in detail ).

Disclaimer: This implementation won't work in Opera (as it doesn't support the constructor) and also won't work in FireFox (because it doesn't support a single thing of it) so if you're using one of those, I suggest you to use Chrome -or any other compatible browser- if you want to take a try.

Speech recognition code and PoC

Edit: I realised that for any reason it won't work when embedded so here's the link to open it directly .

The implementation I made currently supports English and Spanish just to showcase.

Quick instructions and feature overview:

• Choose one of the languages from the drop down.
• Hit the mic icon and it will start recording (you'll notice a weird animation).
• Once you finish a sentence it will write it down in the box.
• When you want it to stop recording, simply press the mic again (animation stops).
• You can also hit the box to copy the text in your clipboard.

Speech Recognition in the Browser with JavaScript - key code blocks:

This implementation currently supports the following languages for speech recognition:

If you want me to add support for more languages tell me in the comment sections and I'm updating it in a blink so you can test it on your own language 😁

That's all for today, hope you enjoyed I sure did doing that

Top comments (21)

Templates let you quickly answer FAQs or store snippets for re-use.

• Location İstanbul, Turkey
• Joined Apr 28, 2022

This is really awesome. Could you please add the Turkish language? I would definitely like to try this in my native language and use it in my projects.

• Location Spain
• Education Higher Level Education Certificate on Web Application Development
• Work Tech Lead/Lead Dev
• Joined Apr 19, 2019

• Location 3000
• Work Mr at StartUp
• Joined Aug 17, 2019

It's cool mate. Very good

Thank you! 🤖

Can u add Telugu a Indian language:)

I can try, do you know the IETF/ISO language code for it? 😁

• Location Cyprus
• Work CEO at AINIRO AS
• Joined Mar 13, 2022

Cool. I once created a speech based speech recognition thing based upon MySQL and SoundEx allowing me to create code by speaking through my headphones. It was based upon creating a hierarchical “menu” where I could say “Create button”. Then the machine would respond with “what button”, etc. The thing of course produced Hyperlambda though. I doubt it can be done without meta programming.

One thing that bothers me is that this was 5 years ago, and speech support has basically stood 100% perfectly still in all browsers since then … 😕

Not in all of them, (e.g. Opera mini, FireFox mobile), it's a nice to have in browsers, specially targeting accessibility, but screen readers for blind people do the job and, on the other hand, most implementations for any other purpose send data to a backend using streams so they can process the incoming speech plus use the user feedback to train an IA among others and without hurting the performance.

...allowing me to create code by speaking through my headphones... ... I doubt it can be done without meta programming.

I agree on this. The concept "metaprogramming" is extense and covers different ways in which it can work (or be implemented) and from its own definition it is a building block for this kind of applications.

• Location Rio de Janeiro, RJ
• Education Master Degree
• Work FullStack and Mobile Developer
• Joined May 18, 2021

Thank you 🙏. I'd like that you put in Brazilian Portuguse too.

Added both Portugal and Brazilian portuguese 😁

• Work Student
• Joined Jul 21, 2022

Thanks you 🙏. I'd like that you put in french too.

Thank you! 😁

I added support for some extra languages in the mean time 😁

• Work Technical Manager @ Gabrieli Media Group
• Joined Aug 29, 2022

Thank you very much for your useful article and implementation. Does it support Greek? Have a nice (programming) day

Hi Symeon, added support for Greek el-GR , try it out! 😃

• Education Cameroon
• Joined Aug 26, 2022

• Joined Jan 15, 2023

Can you please add urdu language

Hi @aheedkhan I'm not maintaining this anymore but feel free to fork the pen! 😄

• Joined Jul 7, 2024

Help me??? stackoverflow.com/questions/755279...

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• About AssemblyAI

How To Convert Voice To Text Using JavaScript

This article shows how Real-Time Speech Recognition from a microphone recording can be integrated into your JavaScript application in only a few lines of code.

Senior Developer Advocate

Real-Time Voice-To-Text in JavaScript With AssemblyAI

The easiest solution is a Speech-to-Text API , which can be accessed with a simple HTTP client in every programming language. One of the easiest to use APIs to integrate is AssemblyAI, which offers not only a traditional speech transcription service for audio files but also a real-time speech recognition endpoint that streams transcripts back to you over WebSockets within a few hundred milliseconds.

Before getting started, we need to get a working API key. You can get one here and get started for free:

Step 1: Set up the HTML code and microphone recorder

Create a file index.html and add some HTML elements to display the text. To use a microphone, we embed RecordRTC , a JavaScript library for audio and video recording.

Additionally, we embed index.js , which will be the JavaScript file that handles the frontend part. This is the complete HTML code:

Step 2: Set up the client with a WebSocket connection in JavaScript

Next, create the index.js and access the DOM elements of the corresponding HTML file. Additionally, we make global variables to store the recorder, the WebSocket, and the recording state.

Then we need to create only one function to handle all the logic. This function will be executed whenever the user clicks on the button to start or stop the recording. We toggle the recording state and implement an if-else-statement for the two states.

If the recording is stopped, we stop the recorder instance and close the socket. Before closing, we also need to send a JSON message that contains {terminate_session: true} :

Then we need to implement the else part that is executed when the recording starts. To not expose the API key on the client side, we send a request to the backend and fetch a session token.

Then we establish a WebSocket that connects with wss://api.assemblyai.com/v2/realtime/ws . For the socket, we have to take care of the events onmessage , onerror , onclose , and onopen . In the onmessage event we parse the incoming message data and set the inner text of the corresponding HTML element.

In the onopen event we initialize the RecordRTC instance and then send the audio data as base64 encoded string. The other two events can be used to close and reset the socket. This is the remaining code for the else block:

Step 3: Set up a server with Express.js to handle authentication

Lastly, we need to create another file server.js that handles authentication. Here we create a server with one endpoint that creates a temporary authentication token by sending a POST request to https://api.assemblyai.com/v2/realtime/token .

To use it, we have to install Express.js , Axios , and cors :

And this is the full code for the server part:

This endpoint on the backend will send a valid session token to the frontend whenever the recording starts. And that's it! You can find the whole code in our GitHub repository .

Run the JavaScript files for Real-Time Voice and Speech Recognition

Now we must run the backend and frontend part. Start the server with

And then serve the frontend site with the serve package :

Now you can visit http://localhost:3000 , start the voice recording, and see the real-time transcription in action!

Real-Time Transcription Video Tutorial

Watch our video tutorial to see an example of real-time transcription:

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annyang! SpeechRecognition that just works

Annyang is a tiny javascript library that lets your visitors control your site with voice commands., annyang supports multiple languages, has no dependencies, weighs just 2kb and is free to use..

Go ahead, try it…

Say "Hello!"

Let's try something more interesting…

Say "Show me cute kittens!"

Say "Show me Arches National Park!"

Now go wild. Say "Show me…" and make your demands!

That's cool, but in the real world it's not all kittens and hello world.

No problem, say "Show TPS report"

How did you do that?

Simple. Here is all the code needed to achieve that:

What about more complicated commands?

annyang understands commands with named variables , splats , and optional words .

Use named variables for one word arguments in your command.

Use splats to capture multi-word text at the end of your command (greedy).

Use optional words or phrases to define a part of the command as optional.

What about browser support?

annyang plays nicely with all browsers, progressively enhancing browsers that support SpeechRecognition, while leaving users with older browsers unaffected.

Ready to get started?

Grab the latest version of annyang.min.js , drop it in your html, and start adding commands.

You can also visit annyang on GitHub , and read the full API documentation or FAQ .

© 2016 Tal Ater. All rights reserved. The annyang source code is free to use under the MIT license .

Tal Ater retains creative control, spin-off rights and theme park approval for Mr. Banana Grabber, Baby Banana Grabber, and any other Banana Grabber family character that might emanate there from.

It looks like your browser doesn't support speech recognition.

annyang plays nicely with all browsers, progressively enhancing modern browsers that support the SpeechRecognition standard, while leaving users with older browsers unaffected.

Please visit http://www.annyangjs.com/ in a desktop browser like Chrome.

8 Best JavaScript Voice Command and Speech Recognition Libraries

With the support of WebRTC, real-time communication capabilities in an app browser become reality. It supports many types of data, including voice, which allows developers to build powerful voice commands, text-to-speech, and speech recognition solutions.

Table of Contents

SpeechSynthesis

The SpeechSynthesis interface of the Web Speech API is the controller interface for the speech service.

You can test these 3 lines of code in Developer Tools.

voice-commands.js

voice-commands.js is a simple wrapper for Javascript Speech-to-text to add voice commands.

Julius is a high-performance, small-footprint large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. JuliusJS is its JavaScript port. The library actively listens to the user to transcribe what they are saying through a callback.

Text To Speech JS

This is a small JavaScript library that provides a text-to-speech conversion using tts-api.com service.

Pocketsphinx.js

Pocketsphinx.js is a speech recognition library, ported from PocketSphinx. So Pocketsphinx.js’ features are tightly related to the features of PocketSphinx.

• All-JavaScript API,
• Calls can be made through Web Workers or not,
• Supports all acoustic models supported by PocketSphinx,
• Supports most of the command-line parameters of PocketSphinx,
• Support for Finite State Grammars (FSG) input from JavaScript,
• Support for Statistical Language Models or JSGF grammars input from files,
• Support for Keyword spotting,
• Optional audio recording library for real-time recognition.

Artyom.js is a useful wrapper of the  speechSynthesis  and  webkitSpeechRecognition  APIs. Besides, artyom.js also lets you to add voice commands to your website easily.

  Annyang

annyang is a tiny JavaScript library that lets your visitors control your site with voice commands. annyang supports multiple languages, has no dependencies, weighs just 2kb, and is free to use.

voix.js allows developers to add voice commands to their sites, apps or games.

Related posts:

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SpeechRecognition: SpeechRecognition() constructor

The SpeechRecognition() constructor creates a new SpeechRecognition object instance.

This code is excerpted from our Speech color changer example.

Specifications

Browser compatibility

BCD tables only load in the browser with JavaScript enabled. Enable JavaScript to view data.

• Web Speech API

This browser is no longer supported.

Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support.

Speech Recognizer class

Performs speech recognition from microphone, file, or other audio input streams, and gets transcribed text as result.

Constructors

Inherited Properties

Inherited Methods

Constructor Details

Speech recognizer(speech config, audio config).

SpeechRecognizer constructor.

an set of initial properties for this recognizer

An optional audio configuration associated with the recognizer

Property Details

Authorization token.

Gets the authorization token used to communicate with the service.

Property Value

Authorization token.

The event canceled signals that an error occurred during recognition.

(sender: Recognizer, event: SpeechRecognitionCanceledEventArgs) => void

endpoint Id

Gets the endpoint id of a customized speech model that is used for speech recognition.

the endpoint id of a customized speech model that is used for speech recognition.

internal Data

Output format.

Gets the output format of recognition.

The output format of recognition.

The collection of properties and their values defined for this SpeechRecognizer.

The event recognized signals that a final recognition result is received.

(sender: Recognizer, event: SpeechRecognitionEventArgs) => void

recognizing

The event recognizing signals that an intermediate recognition result is received.

speech Recognition Language

Gets the spoken language of recognition.

The spoken language of recognition.

telemetry Enabled

This method returns the current state of the telemetry setting.

true if the telemetry is enabled, false otherwise.

Inherited Property Details

Session started.

Defines event handler for session started events.

(sender: Recognizer, event: SessionEventArgs) => void

Inherited From Recognizer.sessionStarted

session Stopped

Defines event handler for session stopped events.

Inherited From Recognizer.sessionStopped

speech End Detected

Defines event handler for speech stopped events.

(sender: Recognizer, event: RecognitionEventArgs) => void

Inherited From Recognizer.speechEndDetected

speech Start Detected

Defines event handler for speech started events.

Inherited From Recognizer.speechStartDetected

Method Details

Close(() => void, (error: string) => void).

closes all external resources held by an instance of this class.

() => void

(error: string) => void

dispose(boolean)

Disposes any resources held by the object.

true if disposing the object.

Promise<void>

From Config(Speech Config, Auto Detect Source Language Config, Audio Config)

An source language detection configuration associated with the recognizer

recognize Once Async((e: Speech Recognition Result) => void, (e: string) => void)

Starts speech recognition, and stops after the first utterance is recognized. The task returns the recognition text as result. Note: RecognizeOnceAsync() returns when the first utterance has been recognized, so it is suitable only for single shot recognition like command or query. For long-running recognition, use StartContinuousRecognitionAsync() instead.

(e: SpeechRecognitionResult) => void

Callback that received the SpeechRecognitionResult.

(e: string) => void

Callback invoked in case of an error.

start Continuous Recognition Async(() => void, (e: string) => void)

Starts speech recognition, until stopContinuousRecognitionAsync() is called. User must subscribe to events to receive recognition results.

Callback invoked once the recognition has started.

start Keyword Recognition Async(Keyword Recognition Model, () => void, (e: string) => void)

Starts speech recognition with keyword spotting, until stopKeywordRecognitionAsync() is called. User must subscribe to events to receive recognition results. Note: Key word spotting functionality is only available on the Speech Devices SDK. This functionality is currently not included in the SDK itself.

The keyword recognition model that specifies the keyword to be recognized.

stop Continuous Recognition Async(() => void, (e: string) => void)

Stops continuous speech recognition.

Callback invoked once the recognition has stopped.

stop Keyword Recognition Async(() => void)

Stops continuous speech recognition. Note: Key word spotting functionality is only available on the Speech Devices SDK. This functionality is currently not included in the SDK itself.

Inherited Method Details

Enable telemetry(boolean).

This method globally enables or disables telemetry.

Global setting for telemetry collection. If set to true, telemetry information like microphone errors, recognition errors are collected and sent to Microsoft. If set to false, no telemetry is sent to Microsoft.

Inherited From Recognizer.enableTelemetry

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How to dynamically detect languages in javascript

Here I am trying to auto detect voice and try to search. which i can able to do.

But my problem is, in my code it's not auto detecting the languages.

let a voice is speeked in English and it'll auto detect the letter and search in English language. (Let speak - Hello, search text - Hello)

Let say, a voice is spoken in Hindi and it'll auto-detect the letter and search in Hindi language. (Let speak - नहीं, search text - नहीं)

I think my problem is in recognition.lang = "hi-IN"; code. here i need to pass multiple laguages for auto detect. So anyone can help me on this?

• speech-recognition
• text-to-speech
• voice-recognition

• I have never used the SpeechRecognition API before but from what I read about it, perhaps creating multiple instances of the recognition object each initialised to a different language might help. Using a little bit of heuristics/brute force, you can always capture events from all instances, eliminate nomatch cases and compare their results based on confidence to select the best one. [Leaving this as a comment for now as it is an untested hypothesis. Will add an answer when I get the chance to work out a PoC which works] –  Chirag Ravindra Commented Oct 5, 2018 at 10:39
• @ChiragRavindra do you have any other aproach or any other api to get similar functionality ? –  Sangram Badi Commented Oct 5, 2018 at 10:42
• No, sorry.. I have not worked on speech detection before. Will definitely explore and revert if I find something –  Chirag Ravindra Commented Oct 5, 2018 at 10:43
• @ChiragRavindra thank you –  Sangram Badi Commented Oct 5, 2018 at 10:44

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